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Cited by 695

The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.

Doxorubicin, DNA torsion, and chromatin dynamics

Open access
Yang, Fan, Teves, Sheila S., Kemp, Christopher J., Henikoff, Steven·2014·Biochimica et Biophysica Acta (BBA) - Reviews on Cancer

Abstract

Doxorubicin is one of the most important anti-cancer chemotherapeutic drugs, being widely used for the treatment of solid tumors and acute leukemias. The action of doxorubicin and other anthracycline drugs has been intensively investigated during the last several decades, but the mechanisms that have been proposed for cell killing remain disparate and controversial. In this review, we examine the proposed models for doxorubicin action from the perspective of the chromatin landscape, which is altered in many types of cancer due to recurrent mutations in chromatin modifiers. We highlight recent evidence for effects of anthracyclines on DNA torsion and chromatin dynamics that may underlie basic mechanisms of doxorubicin-mediated cell death and suggest new therapeutic strategies for cancer treatment.

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Crossref · 10.1016/j.bbcan.2013.12.002

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Metadata

Authors
Yang, F., Teves, S. S., Kemp, C. J., & Henikoff, S.
Venue
Biochimica et Biophysica Acta (BBA) - Reviews on Cancer
Publisher
Elsevier BV
Published
2014-01
Volume
1845
Issue
1
Pages
84-89
ISSN
0304-419X (ISSN-L)
OpenAlex
W2049573968
Cited by
695
References
68
FWCI
9.55
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Doxorubicin, DNA torsion, and chromatin dynamics. https://app.cochat.ai/papers/10.1016/j.bbcan.2013.12.002
The paper
Yang, F., Teves, S. S., Kemp, C. J., & Henikoff, S. (2014). Doxorubicin, DNA torsion, and chromatin dynamics. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. https://doi.org/10.1016/j.bbcan.2013.12.002

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.